Data Platform Engineer — Bio Data Pipelines with Equity

Outpost Bio

Cambridge (MA)

On-site

USD 140,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Equity / stock options
100% employer medical/dental/vision
401(k) with 3% match
PTO 25 days + birthday off
Winter break between Xmas and New Year

Job summary

Outpost Bio in Cambridge, MA is seeking a Data Platform Engineer to build and operate data pipelines from raw data to analysis-ready datasets, enabling reproducible machine learning and analytics. You will sit between wet-lab data producers and ML teams, owning datasets, provenance, and validation while ensuring reliable, scalable workflows on AWS using Dagster, Airflow, or Prefect.

You will work with scientists to understand data generation and constraints, maintaining robust engineering

Qualifications

  • 3–5 years building and operating production data infrastructure.
  • Owned pipelines that others depend on and handled failures.
  • Experience with cloud compute and strong engineering practices.

Responsibilities

  • Build and operate pipelines turning raw data into analysis-ready datasets.
  • Own the datasets with schema stability, provenance, validation and documentation.
  • Collaborate with wet-lab and CRO teams and ML/analytic groups.
  • Maintain good engineering practices: code reviews, tests, CI, diagnosable failures.
  • Make training/inference runs traceable via versioned inputs and config.

Skills

Python
Workflow orchestration
Dagster
Airflow
Prefect
AWS
Terraform
ClickHouse
DuckDB
dbt

Tools

Dagster
Airflow
Prefect
AWS Batch
Fargate
S3
Terraform
dbt
SQLMesh
ClickHouse
DuckDB

Job description

Outpost Bio in Cambridge, MA is seeking a Data Platform Engineer to build and operate data pipelines from raw data to analysis-ready datasets, enabling reproducible machine learning and analytics. You will sit between wet-lab data producers and ML teams, owning datasets, provenance, and validation while ensuring reliable, scalable workflows on AWS using Dagster, Airflow, or Prefect.

You will work with scientists to understand data generation and constraints, maintaining robust engineering

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